2017
DOI: 10.1016/j.atmosenv.2016.12.046
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Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran

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Cited by 105 publications
(44 citation statements)
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“…Figure also shows a lack of correlation between the mean annual values of ASR S and CC measured at the station Tehran, but a strong positive correlation (non‐significant) between ASR S and CSR S . This fact may be explained by the increase in the amount of aerosol in Tehran (Sabetghadam et al, ; Crosbie et al, ; Arhami et al, ), which can notably affect the transparency of the atmosphere and therefor the amount of ASR S received at this station (Sanchez‐Lorenzo et al, ; Wild, ; Zhao et al, ; Sanchez‐Romero et al, ; Rahimzadeh et al, ; Qian, ). Furthermore, it is worth to mention that aerosols in Tehran seem to largely origin from anthropogenic air pollution (Crosbie et al, ; Sabetghadam and Ahmadi‐Givi, ).…”
Section: Discussionmentioning
confidence: 99%
“…Figure also shows a lack of correlation between the mean annual values of ASR S and CC measured at the station Tehran, but a strong positive correlation (non‐significant) between ASR S and CSR S . This fact may be explained by the increase in the amount of aerosol in Tehran (Sabetghadam et al, ; Crosbie et al, ; Arhami et al, ), which can notably affect the transparency of the atmosphere and therefor the amount of ASR S received at this station (Sanchez‐Lorenzo et al, ; Wild, ; Zhao et al, ; Sanchez‐Romero et al, ; Rahimzadeh et al, ; Qian, ). Furthermore, it is worth to mention that aerosols in Tehran seem to largely origin from anthropogenic air pollution (Crosbie et al, ; Sabetghadam and Ahmadi‐Givi, ).…”
Section: Discussionmentioning
confidence: 99%
“…Figure 2 shows an overview of coarse PM concentration and its seasonal variability at the two sampling locations. As can be seen in the graph, a higher concentration of coarse PM is observed during the warm season, as opposed to the cold season, due to the increase in particle concentration originating from dust and crustal elements in hot and dry days [47,48,71,72]. Figure 3 also illustrates the seasonal variations in the concentrations of selected metals at both of the sampling sites.…”
Section: Data Overviewmentioning
confidence: 88%
“…Previous source apportionment studies have identified vehicular emissions, secondary aerosol, and industrial emissions as the dominant sources of PM 2.5 in Tehran with minimum contributions from road dust, biomass burning, soil, oil combustion, and sea salt to PM 2.5 mass [46][47][48]. Furthermore, residential oil combustion, gasoline, and diesel-powered vehicles had moderate to high correlations with the PM 2.5 associated oxidative potential in Tehran, measured by means of the Dichlorofluorescin (DCFH) in vitro assay [49].…”
Section: Introductionmentioning
confidence: 99%
“…Conducting source apportionment studies, analyzing particles by receptor models, using methods such as Positive Matric Factorization, which requires in depth modeling and a wealth of filter sample data, would deliver good insights into not only the share of each sector to the emissions, but also to ambient concentration levels. Arhami et al (2017) provide the chemical speciation distinguishing between the contribution of several major mass constituents to PM 2.5 in Central Tehran. However, it is not straight forward to translate these constituents to the above mentioned sources (mobile, energy, industries, etc.).…”
Section: Mobile Sources Are the Largest Contributor To Ambient Pm Airmentioning
confidence: 99%